Macgregor Dawson Email & Phone Number

• Develop and maintain complex predictive models to support forecasting, risk assessment, and strategic planning across multiple business units in line with organisational objectives.
• Analyse and interpret large datasets to identify business trends, risks, and opportunities to deliver meaningful insights that guide decision-making processes at various levels.
• Collaborate with cross-functional teams and stakeholders to gather business requirements and ensure data solutions address specific needs such as claims management, operational efficiency, and customer segmentation.
• Monitor and audit the performance of business intelligence models to ensure their accuracy, relevance, and alignment with current business processes.
• Provide detailed reporting and analysis to senior management and executive committees.
• Oversee the governance and documentation of data models and reporting tools to ensure compliance with internal standards, audit requirements and long-term scalability and reliability.

Melbourne, Victoria, Australia

• Analyse and manage credit risk across Telstra’s post-paid customer base to minimise bad debt exposure and fraud.
• Lead the development and recalibration of consumer credit scorecards including application and behavioural inputs to improve credit assessment and collections efficiency.
• Collaborate with internal stakeholders including finance, credit management, and IT to gather data requirements and ensure credit risk models meet business needs.
• Utilise advanced data analytics including SAS-based regression techniques, to enhance the performance of credit risk models and drive operational improvements.
• Incorporate new data sources such as customer demographics and prepaid account behaviour into credit risk assessments to increase scorecard accuracy.
• Segment delinquent customer accounts and develop strategies to allocate them into appropriate treatment streams and optimise the collections process.

Melbourne, Victoria, Australia

• Design and implement data models and analytical tools to support decision-making across various business functions, including marketing and student services.
• Automate data extraction and reporting processes to improve operational efficiency and ensure timely delivery of insights to stakeholders.
• Develop predictive models that enhance campaign effectiveness and improve student outcomes.Achievements:
• Developed a comprehensive management tool for outbound phone campaigns to significantly improve the accuracy of student targeting and automating the data delivery process.
• Automated the data extraction process for annual portfolio reviews which ensured timely and accurate reporting for all affiliated course providers.
• Implemented a propensity-to-pass scorecard model to improve student support services by identifying at-risk students and enhancing the effectiveness of sales pitches.

Melbourne, Victoria, Australia

• Credit Cards (2009 - 2010)
• Contributed to the deployment of a real-time fraud decision engine which reduced e-commerce fraud losses from over $400,000 per month in FY09 to under $100,000 per month by FY11.
• Rapidly designed and implemented fraud detection rules to counter large-scale fraud attacks which reduced NAB's exposure to credit card fraud.
• Represented the bank in industry-wide forums. Electronic Banking (2010 - 2012)
• Achieved over 80% fraud detection rates in FY11 & FY12, significantly reducing false positives through advanced customer profiling techniques.
• Designed and implemented a comprehensive fraud monitoring system for UBank, preventing over $1.5 million in fraud losses during FY12.

Melbourne, Victoria, Australia

• Develop and validate credit scorecards including point-of-application and behavioural models using SAS-based logistic regression techniques.
• Collaborate with clients across various industries including major Australian banks to customise credit scoring models and present results to both technical and non-technical audiences.
• Contribute to the development and testing of SQL-based data extraction tools in FY09 to enhance the quality and efficiency of data retrieval for client projects.

Bachelor Of Science (Honours), Applied Mathematics

Graduate Certificate In Applied Finance

Bachelor Of Arts, English Language And Literature, General